In this article, we will discuss how to merge two Pandas Dataframes on Index in Python.
Merge two Pandas DataFrames on Index using join()
This join() method is used to join the Dataframe based on the index.
Python3
# import pandas moduleimport pandas as pd # create student dataframedata1 = pd.DataFrame({'id': [1, 2, 3, 4], 'name': ['manoj', 'manoja', 'manoji', 'manij']}, index=['one', 'two', 'three', 'four']) # create marks dataframedata2 = pd.DataFrame({'s_id': [1, 2, 3, 6, 7], 'marks': [98, 90, 78, 86, 78]}, index=['one', 'two', 'three', 'siz', 'seven']) # join two dataframesprint(data1.join(data2)) |
Output:
Merge Two Pandas DataFrames on Index using merge()
This merge() method will merge the two Dataframes with matching indexes
Python3
# import pandas moduleimport pandas as pd # join two dataframes with mergeprint(pd.merge(data1, data2, left_index=True, right_index=True)) |
Output:
Merge Two Pandas DataFrames on Index using concat()
We can concatenate two Dataframes by using concat() method by setting axis=1.
Python3
# import pandas moduleimport pandas as pd # join two dataframes with concatprint(pd.concat([data1, data2], axis=1)) |
Output:
Recommended Article: Pandas Merging, Joining, and Concatenating
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